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Elinor Laws

Showing results (11-20 of 18) with videos related to

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The Lancet. Digital Health|October 25, 2024
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic reviewJoseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|July 9, 2025
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369]Elinor Laws, Joanne Palmer, Joseph Alderman, et al.
Nature Medicine|October 26, 2023
The value of standards for health datasets in artificial intelligence-based applicationsAnmol Arora, Joseph E Alderman, Joanne Palmer, et al.
Nature Medicine|February 28, 2025
Author Correction: Five ways to enhance the diversity and quality of health dataPaola Quattroni, Ash Routen, Joe Alderman, et al.
Nature Medicine|February 24, 2025
Five ways to enhance the diversity and quality of health dataPaola Quattroni, Ash Routen, Joe Alderman, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
The Lancet. Digital Health|October 25, 2024
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic reviewJoseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|July 9, 2025
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369]Elinor Laws, Joanne Palmer, Joseph Alderman, et al.
Nature Medicine|October 26, 2023
The value of standards for health datasets in artificial intelligence-based applicationsAnmol Arora, Joseph E Alderman, Joanne Palmer, et al.
Nature Medicine|February 28, 2025
Author Correction: Five ways to enhance the diversity and quality of health dataPaola Quattroni, Ash Routen, Joe Alderman, et al.
Nature Medicine|February 24, 2025
Five ways to enhance the diversity and quality of health dataPaola Quattroni, Ash Routen, Joe Alderman, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 2